Top Software Engineer Jobs in Austin, TX

As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.

The Senior SRE Engineer will implement and manage SLOs, SLIs, and error budgets, lead postmortems and root cause analysis, enhance system reliability, and drive automation and observability using modern tools. The role involves collaboration with product teams and engineering strategic initiatives for capacity and reliability.

As a Senior Android Software Engineer at Dropbox, you will enhance mobile user experiences by developing advanced features and addressing complex technical challenges. You will mentor junior engineers, advocate for best coding practices, and collaborate across teams to improve app performance and security.

The Senior DevOps Engineer will develop and maintain platform health, automate build and deployment processes, build monitoring tools, and implement robust DevOps pipelines in AWS environments while communicating effectively with the team.

The Senior Hardware Test Engineer will lead new product qualification testing and ongoing reliability testing. Responsibilities include building test plans, performing product validation with testing equipment, designing automation rigs, writing test reports, providing technical support, and ensuring safety protocols in a collaborative team environment.

As a Principal Software Engineer for the video player team, you will lead the design, development, and optimization of next-gen video player libraries while advocating for excellence in operations and engineering. You will collaborate across teams to establish technology roadmaps and drive key engineering programs, affecting millions of users globally.

As an Applied Machine Learning Engineer at Anduril Industries, you will prototype LLM-based systems, fine-tune language models, and develop training and data management pipelines, while collaborating across teams to address research challenges in defense technology.